DeepSeek-V4-Flash-0731 vs Inkling-Small: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-0731 | Inkling-Small |
|---|---|---|
| Company | DeepSeek | Thinking Machines Lab |
| Release Date | July 31, 2026 | July 30, 2026 |
| Parameters | 304B | 276B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | 393K | 256K |
| Input Price / 1M | $0.14 | $0.30 |
| Output Price / 1M | $0.28 | $1.20 |
| Average Score | 0.7 | 0.6 |
| Benchmarks | ||
| Terminal-Bench 2.1 | 0.8 | 0.6 |
| Toolathlon | 0.7 | 0.5 |
Visual Benchmark Comparison
DeepSeek-V4-Flash-0731
Inkling-Small
Terminal-Bench 2.10.8 vs 0.6
0.8
0.6
Toolathlon0.7 vs 0.5
0.7
0.5
Verdict
DeepSeek-V4-Flash-0731 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.7, Inkling-Small — 0.6.
API Cost
DeepSeek-V4-Flash-0731 is 3.6x cheaper: input $0.14/1M vs $0.30/1M tokens.
Context Window
DeepSeek-V4-Flash-0731 supports a larger context: 1M vs 256K tokens.
Recency
Both models were released around the same time: 7/31/2026 and 7/30/2026.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or Inkling-Small?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Flash-0731 or Inkling-Small?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $0.30.
Which has a larger context window — DeepSeek-V4-Flash-0731 or Inkling-Small?
DeepSeek-V4-Flash-0731 supports a larger context: 1,000,000 tokens vs 256,000.
The DeepSeek-V4-Flash-0731 and Inkling-Small comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Flash-0731 or Inkling-Small page. See also the complete list of AI model comparisons.